{"id":"W2110230865","doi":"10.1002/ls.172","title":"Pressure viscosity coefficients and traction properties of synthetic lubricants for wind turbine gear systems","year":2012,"lang":"en","type":"article","venue":"Lubrication Science","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"Dow Chemical Company","keywords":"Lubricant; Viscometer; Viscosity; Materials science; Traction (geology); Turbine; Composite material; Friction modifier; Viscosity index; Tribology; Dry lubricant; Mechanical engineering; Engineering; Base oil; Scanning electron microscope","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003847082,0.00005657131,0.00009787479,0.0001023538,0.00009516663,0.00004104581,0.00010935,0.00002235622,0.000001378419],"category_scores_gemma":[0.00004057979,0.00004756238,0.00001860425,0.0003368503,0.000102052,0.0002403369,0.00001835095,0.00003241558,0.000002574054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002482956,"about_ca_system_score_gemma":0.00001099645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000325646,"about_ca_topic_score_gemma":5.395329e-7,"domain_scores_codex":[0.9993884,0.00000805022,0.0001291416,0.0001170498,0.0001973902,0.0001599523],"domain_scores_gemma":[0.9996319,0.00001304856,0.000047846,0.0001467082,0.0001023125,0.00005814145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001599268,0.0001885036,0.02416884,0.0005290733,0.00006721607,5.857985e-8,0.00190108,0.1383418,0.8263273,0.001246459,0.00009783448,0.007115785],"study_design_scores_gemma":[0.0000845915,0.00001386282,0.04994014,0.00002888198,0.0000551835,0.000005004614,0.0001089427,0.9351372,0.01391898,0.000007093036,0.0006061481,0.00009397828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777011,0.0006214326,0.02108501,0.00002076813,0.0001884811,0.0001893023,0.000006126994,0.00003507711,0.0001527579],"genre_scores_gemma":[0.9996151,0.00001521402,0.0002444885,0.000002047352,0.00001845924,0.000008153485,0.000001344444,0.000005778367,0.00008942013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8124084,"threshold_uncertainty_score":0.1939538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01858833799113141,"score_gpt":0.2304084779353034,"score_spread":0.211820139944172,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}